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MKIS-Net: A Light-Weight Multi-Kernel Network for Medical I..:
, In:
2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
,
Khan, Tariq M.
;
Arsalan, Muhammad
;
Robles-Kelly, Antonio
. - p. 1-8 , 2022
Link:
https://doi.org/10.1109/DICTA56598.2022.10034573
RT T1 <cTitle>2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)</cTitle>: T1 <Title>MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10034573&Exemplar=1&LAN=DE A1 Khan, Tariq M. A1 Arsalan, Muhammad A1 Robles-Kelly, Antonio A1 Meijering, Erik YR 2022 K1 Image segmentation K1 Computer architecture K1 Skin K1 Retinal vessels K1 Lesions K1 Convolutional neural networks K1 Task analysis K1 Kernel K1 Medical diagnostic imaging K1 X-ray imaging K1 Convolutional Neural Networks K1 Medical Image Segmentation K1 Medical Image Analysis K1 Light-Weight Networks SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/DICTA56598.2022.10034573 DO https://doi.org/10.1109/DICTA56598.2022.10034573 SF ELIB - SuUB Bremen
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